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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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We are committed to developing exceptional talent and fostering a culture of innovation, and strive to foster an environment that welcomes a diversity of backgrounds and professional experience as we make advances in machine learning and artificial intelligence.
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Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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System design and software implementation of proof-of-concept prototypes incorporating a variety of engineering disciplines: control theory, software development, signal/video processing, pattern recognition, machine learning, artificial intelligence, high performance computing, applied mathematics, network/web services, and visualization.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Across North America and all over the world, Mathnasium Learning Centers are committed to helping students achieve their full potential in math. Maintain a safe and professional learning environment.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. GliaCell is seeking a Junior Software Engineer on one of our subcontracts.
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Equipment utilized may include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon pump, AngioJet, etc.
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Experience with the deployment of McAfee HBSS tools in a Linux environment. Experience with a ticketing system such as BMC Remedy and/or Atlassian JIRA. Experience supporting, installing and configuring enclave Fiber/Ethernet switches, HPE storage area networks (SAN)/ network attached storage (NAS.
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We strive to foster an environment that welcomes a diversity of backgrounds and professional experience as we make advances in machine learning and artificial intelligence. You will work alongside hardworking scientific and engineering teams to build machine learning software addressing scientific challenges such as materials discovery, synthetic biology, chemistry, computational fluid dynamics, and climate and weather modeling.
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The Learning and Development Specialist II is a business partner for the Pipeline Construction Division in developing employees and improving team performance. Accesses the portfolio of development solutions to ensure the appropriate applications are deployed, including, but not limited to classroom, e-learning, and guided learning; Works with WSSC Water business teams’ subject matter experts to define learning and skill needs that support Utility Services processes that integrate with and relate to the other team’s business processes.
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Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred. Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred.
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Four years of experience with machine architecture, operating system internals, file system and memory management, and assembly language (x64, ARM, MIPS). Certification: Certified Ethical Hacker (CEH)Malware sandbox analysis and forensics.
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deployment machine learning artificial jobs Company: Jpmorgan Chase Co in Hanover, MD
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